Data Engineer, AI & Analytics

📋 Description

• You'll sit on the Data Team, owning core data foundation: ingestion, modeling, and data marts for
• Work end-to-end from raw ingestion through semantic layers, leveraging AI-agentic workflows as
• Collaborate with Nova product/engineering, AI/innovation, and client teams to translate
• Design and maintain data pipelines across multi-client warehouse with per-client tenancy.
• Build semantic layers and metric definitions enabling AI-generated SQL with consistent results.
• Monitor data quality and optimize pipelines for cost and performance.

🎯 Requirements

• 3+ years in data or analytics engineering; 1+ year owning a production dbt project.
• Advanced Python and SQL for production-grade pipelines and modeling.
• Deep expertise in dbt (Jinja, macros, tests, snapshots, freshness, etc.).
• Strong Snowflake experience and cloud data stack autonomy.
• Experience modeling in multi-tenant environments; know where client vs core data belongs.
• Working knowledge of marketing datasets and UTMs, attribution windows, platform vs warehouse data

🎁 Benefits

• Equal Opportunity Employer with emphasis on diversity and inclusion.
• Collaborative culture across data, product, and client teams; emphasis on growth and